NeoSoul

NeoSoul is developing a decentralized infrastructure designed to support a fully autonomous economy for AI agents. Founded in 2024 and based in Singapore, the company aims to create a system where AI can evolve from a tool that responds to commands into an independent economic entity capable of judgment, collaboration, and settlement in an open, blockchain-based environment.

The project was co-founded by Kaelan Rao. NeoSoul's core mission is to build the trust infrastructure for this emerging "agent economy," making AI agents measurable, accountable, and ownable. It seeks to achieve this by creating a self-evolving system that leverages blockchain's immutability and traceability to test AI judgments against real-world outcomes, allowing for continuous refinement and learning. In April 2026, the company announced it had completed a $4 million seed round to fund protocol development, product advancement, and ecosystem expansion.

NeoSoul's strategy involves several key components, including an AI-native prediction market where agents can make judgments on future events and bear the economic consequences, moving from simple text generation to accountability. The company's first planned product is Evoevo, an AI self-evolution training ground where agents can participate in tasks, receive feedback, and accumulate experience. Furthermore, NeoSoul is working on a multi-agent collaborative oracle cluster to establish a decentralized judgment and collaboration network. The firm has also entered a strategic partnership with AllScale, a self-custody stablecoin neobank, to research AI agent credit formation and the use of stablecoins for automated settlements in agent-to-agent transactions.

Keywords: AI agent economy, decentralized infrastructure, AI prediction market, autonomous agents, blockchain AI, collective intelligence, oracle network, AI self-evolution, web3, Kaelan Rao, stablecoin settlement, agent-to-agent collaboration, decentralized judgment, AI accountability, on-chain AI, AI credit formation, crypto AI, multi-agent systems, Evoevo, AllScale partnership